From the course: Transition from Data Science to Data Engineering
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Introduction to cloud computing
From the course: Transition from Data Science to Data Engineering
Introduction to cloud computing
- [Instructor] As data scientists transition into data engineering roles, leveraging cloud computing becomes critical. Cloud computing provides on-demand accesses to computing resources via internet. Traditionally, data engineering involved with the management of on-premise infrastructure, which often posed limitations in terms of scalability and adaptability to involve business needs. Cloud computing, on the other hand, offers a paradigm shift by providing on-demand access to a vast array of computing resources, storage, and services through the internet. Here are some key benefits of cloud computing for data engineering. First key benefit is scalability and elasticity. Cloud computing allows data engineers to quickly scale up or scale down their resources based on fluctuating data processing needs. With elastic computing capabilities, organizations can handle peak workloads efficiently, optimizing resource allocation and reducing costs. Cloud efficiency is another important factor…
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